Alternatives
Products that do what Manticore by TazarSec does
Catch Malicious npm and PyPI Packages by Their Behavior
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2022 · github.com
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If you are worried about the recent Lazarus group software supply chain attack, you should consider having guard rails that is more than conventional SCA. `vet` detects the package (version) published in the report as malware. Try out vet, its free and open source: https://github.com/safedep/vet More details on the attack: https://www.nodejs-security.com/blog/north-korea-malware-on-...
2023 · github.com
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Proves vulnerabilities before reporting them.
8d ago · dashboard-seven-self-13.vercel.app
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I built an open-source malware detection daemon that monitors all running processes in real-time using ML + heuristics. No kernel modules or eBPF required. Key points: - Polls /proc for new processes (works on any Linux kernel 2.6+) - Random Forest model trained on EMBER 2018 dataset (2.3M samples) - Heuristic rules for crypto miners, ransomware, rootkits - ~20MB RAM, <1% CPU, sub-millisecond scan latency - Pure C, zero runtime dependencies - Model embedded directly in binary (50KB) Why I built this: Existing solutions either require modern kernels (eBPF) or are heavy/proprietary.…
Nov 2025 · github.com
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Linux Foundation survey says 70-90% of modern software constitute OSS code. Yet we are stuck with tools that scan only for vulnerabilities in 3rd party libraries and that too with high degree of false positives. I built `vet` for policy and data driven analysis of 3rd party packages that goes beyond only vulnerability and allows codifying organisational policies related to OSS consumption. https://github.com/safedep/vet Looking forward to feedback and suggestions from HN :)
2023 · github.com
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We originally set out to solve complex debugging headaches and useless alerts caused by traditional security scanners in our own projects. Static Analysis (SAST) flagged too much noise because it couldn't verify runtime context, while Dynamic Analysis (DAST) missed internal logic bugs because it treated the app like a black box. We built a CLI tool to bridge this gap using grey box testing from a red team approach. We use internal knowledge of the codebase to guide parallel execution, allowing us to find complex or hidden logic errors and attack paths standard linters/scanners miss. The…
Dec 2025 · bloodhoundsecurity.ca
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Hey everyone, My friend and I built a simple bug fixing app that listens for alerts/issues from Sentry, contextualizes it against your codebase, and any other data sources you wish to connect (right now we support Notion, Google Docs, and Slack), and deploys an ai agent to write a PR for review in Github or Gitlab to solve the bug. Our current demo shows the end-to-end process for a trivial bug fix, but we have been testing it with open source python repos like http-pie, comparing how our agent solves a bug compared to a human engineer and it gets fairly close. We are working on adding…
2023 · resolvd.ai
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2016 · github.com
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A lot of vendors and open-source projects shared guidance on protecting users from downloading malicious NPM packages after the Shai-Hulud campaign — but almost nothing focused on protecting maintainers from accidentally (or maliciously) publishing them. So we built a small tool that continuously monitors your NPM packages and automatically unpublishes any version not produced by your CI workflow.
Nov 2025 · github.com
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2016 · github.com
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Hello HN! Deploying the next-generation of security telemetry technologies to production is hard, so I’m building Impulse, a fully automated XDR platform that leverages tools like Osquery and eBPF to provide real-time threat detection & integrity monitoring for servers and workstations. It detects malware from behavioural patterns rather than signatures and enables deeper visibility than legacy tools. Impulse agents can be deployed on any device or VM running Linux such as cloud VMs in VPC networks, VPS servers or personal workstations and IoTs. In terms architecture, it is organised around…
2024 · github.com
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Hello HN! I built a pre-commit code scanner that checks your staged changes for security vulnerabilities every time you run 'git commit'. I am an inexperienced programmer and this is my first personal project. Any feedback, positive or negative, big or small, relevant or not, would be greatly helpful and appreciated! The tool requires Gitleaks and Python to run, you will also need to use your own AI API key, which I understand is a big setup friction. You can check out my demo video instead if that is more convenient: https://youtu.be/ZYe5vWFRTus?si=9Fv8DhTHktwDK4mV Thank you…
Jun 2026 · github.com
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May 2026 · github.com
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2020 · github.com
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